Solutions Architect, Customer Success - US (Remote)

Overview

Solutions Architect in Customer Success (US, Remote) responsible for ensuring customers achieve measurable outcomes from AI observability investments.

What you'll do

• Drive successful customer onboarding by architecting and implementing onboarding solutions.
• Serve as the trusted technical partner guiding DS/ML teams through the AI observability journey.
• Lead ongoing technical engagements, including roadmap discussions, QBRs, and escalation management.
• Build customer confidence by mastering the platform and helping operationalize observability best practices.
• Deliver seamless integrations by writing custom integration code connecting Fiddler to customer data ecosystems.
• Accelerate adoption by building integration patterns to reduce time-to-value.
• Identify expansion opportunities to support renewals and growth.

What you'll need

• Bachelor’s degree in Computer Science (AI/ML focus), Statistics, Mathematics, or related field with 5-7+ years of professional experience.
• 2+ years deploying, monitoring, or maintaining ML models in production environments.
• Excellent communication, presentation, and storytelling abilities for technical and executive audiences.
• Strong organizational and project management skills across multiple customer engagements.
• Demonstrated collaboration across Product, Engineering, and Delivery to drive customer outcomes.
• Customer-first mindset with empathy, curiosity, and ownership for delivering value.

Nice to have

• Understanding of data science concepts, model interpretability, and explainability techniques.
• Working knowledge of data and workflow tools including Snowflake, BigQuery, Spark, Kafka, Airflow, and MLflow.
• Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Proficiency with Kubernetes and cloud platforms (AWS, Azure, GCP).
• Familiarity with the ML/DS lifecycle including feature generation, training, deployment, monitoring, and evaluation.
• Understanding of generative AI, LLMs, RAG architectures, and agent-based systems.

Details

• Work mode: remote; San Francisco Bay Area candidates require working from the Palo Alto office 3 days a week (hybrid).
• Compensation range: US locations $160,000-$200,000 + equity; San Francisco, New York City, and Seattle $190,000-$230,000 + equity.